Main
Agustin Calatroni
Principal statistician in NIAID-funded Statistical Coordinating Center at Rho since 2005, as such I design, implement, analyze and report on multicenter randomized, observational, and mechanistic clinical trial studies related to asthma, allergy, and immunology. Furthermore, I provide internal and industry sponsors statistical consulting on complex and novel statistical methodologies.
Education
M.S., Master of Statistics
North Carolina State University
Mu Sigma Rho Honors Society
Raleigh, NC
2002 - 2000
M.A., Masters en Sciences économiques
Université Paris 1 Panthéon-Sorbonne
Summa cum laude
Paris, France
1996 - 1995
B.S., Maîtrise en Sciences économiques
Université d’Aix-Marseille III
Summa cum laude
Aix-en-Provence, France
1995 - 1991
Baccalauréat en Sciences économiques
Lycée Franco-Argentin Jean Mermoz
Buenos Aires, Argentina
1991 - 1988
Industry Positions
Principal Statistical Scientist I
Rho, Inc.
(2017) Principal Statistical Scientist I
(2011) Statistical Scientist
(2005) Senior Biostatistician
Durham, NC
Current - 2005
- Lead statistician on a broad-based number of projects including multiple protocol programs, providing input into study design, sample size calculations, and written statistical analysis plans.
- Leads the development and review of statistical analysis, including tables, listings, and figures with continuous interactions among clients and regulatory agencies.
- Serve as a lead consultant on both internally and externally high complexity statistical projects and statistical programming modeling with either SAS or R.
- Expertise in multiple imputation, analysis of count data, linear mixed models, nonlinear mixed model and generalized (additive) mixed models.
Statistician
Center for Human Growth and Development
Univeristy of Michigan
Ann Arbor, MI
2005 - 2002
- Statistical reports and displays for client projects, for presentation at meetings or conferences, and for publication in regulatory documents or professional journals.
Computer Support Specialist
SMT (SportsMEDIA Technology Corp)
Durham, NC
2002 - 1996
- Data & Statistical Integration TV Graphics for auto racing
- 2000 EMMY winner ESPN Seedworld NASCAR coverage
Applied Economist
AMP Incorporated
Harrisburg, PA
2000 - 1998
- Worked on the creation of a more accurate ways to forecast within the organization to maintain a methodical sales forecasting process by applying direct input from sales & marketing.
Teaching & Mentoring
I have been fortunate to have had exceptional mentorship in my profession. Mentoring is a critical element to nurture and grow a great collaborative problem-solving team. This cultivates an environment of continued education, growth, and leadership development. I had mentor members of our group on project guidance and statistical advice.
Industry Mentor
The Statistical and Applied Mathematical Sciences Institute (SAMSI) Industrial Math/Stat Modeling Workshop (IMSM)
Raleigh, NC
2020 - 2011
- Objective is to expose graduate students in mathematics, engineering, and statistics to challenging and exciting real-world problems arising in industrial and government laboratory research.
- Rho Participates in Innovative Graduate Student Workshop for the 8th Consecutive Timet
- 2019 Continuous glucose monitors (CGMs) w/ Functional Data Analysis
AAAAI NHLBI & NIAID Invited Course Faculty
Clinical Trial Designs to Predict Asthma Exacerbations
Atlanta, GA
2017
- Discuss clinical trial designs that have identified predictive biomarkers for asthma medications
- Discuss methods to identify prognostic predictors for asthma exacerbations with the goal of developing strategies to prevent them and to define the potential challenges of interpreting data for subpopulations in a clinical trial
- Identify procedures, such as the microbiome analysis, that may vary in findings based on the age of the study participant
AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge
Advancing Cancer Treatment with Artificial Intelligence
Workshop
2015
- Open innovation competition hosted by Sage Bionetworks using crowdsourcing to identify new solutions to pressing pharmaceutical research and development challenges
- Stacking models approach combining several machine learning techniques into one predictive model in order to decrease the variance (bagging), bias (boosting) and improve the predictive accuracy
- Rho Innovation Award
AAAAI/NIEHS Invited Course Faculty
NHANES 2005-2006: Getting to Grips with the Big Data
San Diego, CA
2014
- Interpret the role that allergen/endotoxin exposures and allergic sensitization play in allergic diseases
- Apply new, standardized methods in indoor allergen assessment
- Review strategic objectives of NHANES and the allergy component
Rho Wide Corporate Training
Visualizing Multivariate Data: Turning Information Into Understanding
Chapel Hill, NC
2013
- Rho Presidential Award for Outstanding Innovation for statistical visualizations
Selected Data Science Writing
Our industry is driven by data. Every phase of our trials requires us to collect, monitor, analyze, and report data. While each of these steps is equally important, reporting is arguably the most impactful step. When we report data, we give them to key decision-makers and invite them to interpret the data and draw conclusions. As part of the Center for Applied Data Visualization I been researching and promoting the best practices and tools for visualizing and reporting data. As such, I developed dozens of novel graphics for both static reports and interactive web-based use.
Examples for data visualization and statistical graphics
Rho Graphics
Our data science team focuses on modernizing clinical trials using interactive statistical graphics. Almost everything we do is open source, so you can see our code on GitHub or use this site to explore our publications, interactive visualizations, data, and blog.
Website
Current - 2005
Visualization of The Museum of Modern Art (MoMA) Collection using Trelliscope
Scalable, flexible, interactive approach to visualizing data github
Blog
2018
The Future, Today: Artificial Intelligence Applications for Clinical Research
With Our Powers Combined: Using Predictive Analytics for Boosting Model Accuracy and Future Applications
Blog
2018
CRANsearcher
RStudio Addin for Searching Packages in CRAN Database Based on Keywords github
R Package
2017
The Development of Model Ensembles Using Cross Validation for Open Source Data Challenges
UseR conference github
Palo Alto, CA
2016
Estimation of the Correlation Coefficient with Left Censored and Repeated Measures Data
Joint Statistical Meetings
Denver, CO
2008
Selected Publications
Together as a team of investigators we are motivated by discovery and results to improve health, extend life, and enhance quality of life. We achieve this by helping our federal and academic clients run clinical trials and epidemiological studies, while also guiding them through complex complex and novel statistical methodology in manuscript writing, and presentations.
As a Principal Statistician for the Statistical and Clinical Coordinating Center at the Inner-City Asthma Consortium (ICAC), the Atopic Dermatitis Research Network (ADRN) and Immune Tolerance Network (ITN), I provide statistical expertise as well as scientific leadership in developing clinical trials to study asthma interventions, allergen immunotherapy and environmental exposures and their roles in allergy and asthma; translational research as well as the analysis of big omics-data.
Distinct nasal airway bacterial microbiotas differentially relate to exacerbation in pediatric patients with asthma
Journal of Allergy and Clinical Immunology
N/A
2019
The nonlesional skin surface distinguishes atopic dermatitis with food allergy as a unique endotype
Science Translational Medicine
N/A
2019
Longitudinal Phenotypes of Respiratory Health in a High-Risk Urban Birth Cohort
American Journal of Respiratory and Critical Care Medicine
N/A
2019
Cockroach allergen component analysis of children with or without asthma and rhinitis in an inner-city birth cohort
Journal of Allergy and Clinical Immunology
N/A
2019
Early decrease in basophil sensitivity to Ara h 2 precedes sustained unresponsiveness after peanut oral immunotherapy
Journal of Allergy and Clinical Immunology
N/A
2019
The association of allergic sensitization patterns in early childhood with disease manifestations and immunological reactivity at 10 years of age
Clinical & Experimental Allergy
N/A
2019
A computerized decision support tool to implement asthma guidelines for children and adolescents
The Journal of Allergy and Clinical Immunology: In Practice
N/A
2019
Building Bridges for Asthma Care: Reducing school absence for inner-city children with health disparities
Journal of Allergy and Clinical Immunology
N/A
2019
Early-life home environment and risk of asthma among inner-city children
Journal of Allergy and Clinical Immunology
N/A
2018
Sensitization and Exposure to Pets: The Effect on Asthma Morbidity in the US Population
Journal of Allergy and Clinical Immunology: In Practice
N/A
2018
Effects of Omalizumab on Rhinovirus Infections, Illnesses, and Exacerbations of Asthma
American Journal of Respiratory and Critical Care Medicine
N/A
2017
Can we predict fall asthma exacerbations? Validation of the seasonal asthma exacerbation index
Journal of Allergy and Clinical Immunology
N/A
2017
Minimally important differences and risk levels for the Composite Asthma Severity Index
Journal of Allergy and Clinical Immunology
N/A
2017
Preseasonal treatment with either omalizumab or an inhaled corticosteroid boost to prevent fall asthma exacerbations
Journal of Allergy and Clinical Immunology
N/A
2015
DNA methylation and childhood asthma in the inner city
Journal of Allergy and Clinical Immunology
N/A
2015
Randomized trial of omalizumab (anti-IgE) for asthma in inner-city children
New England Journal of Medicine
N/A
2011